Evidence map›Paper›PMID 29268737›Full record

ArticleBMC health services research2017

Prevalence and determinants of polypharmacy in Switzerland: data from the CoLaus study.

Julien Castioni, Pedro Marques-Vidal, Nazanin Abolhassani, Peter Vollenweider, Gérard Waeber

Abstract read
In one paragraph

Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  6. Patterns of medication use following breast cancer diagnosis: an Australian population-based study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Julien CastioniDepartment of Medicine, Internal Medicine, Lausanne university hospital, Rue du Bugnon 46, 1011, Lausanne, Switzerland. Julien.Castioni@chuv.ch.ORCID 0000-0002-7260-9371
Pedro Marques-Vidal
Nazanin Abolhassani
Peter Vollenweider
Gérard Waeber

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 33CSCO-122661; 33CS30-139468 and 33CS30-148401
6 · The paper itself

Abstract

backgroundPolypharmacy is a frequent condition, but its prevalence and determinants in the Swiss mid-aged population are unknown. We aimed to evaluate the prevalence and determinants of polypharmacy in a large Swiss mid-aged population-based sample.

methodsData from 4938 participants of the CoLaus study (53% women, age range 40-81 years) were collected between 2009 and 2012. Polypharmacy was defined by the regular use of five or more drugs.

resultsPolypharmacy was reported by 580 participants [11.8%, 95% confidence interval (10.9; 12.6)]. Participants on polypharmacy were significantly older (mean ± standard deviation: 66.0 ± 9.1 vs. 56.6 ± 10.1 years), more frequently obese (35.9% vs. 14.7%), of lower education (66.6% vs. 50.7%) and former smokers (46.7% vs. 36.4%) than participants not on polypharmacy. These findings were confirmed by multivariate analysis: odds ratio and (95% confidence interval) for age groups 50-64 and 65-81 relative to 40-49 years: 2.90 (2.04; 4.12) and 10.3 (7.26; 14.5), respectively, p for trend < 0.001; for low relative to high education: 1.56 (1.17; 2.07); for overweight and obese relative to normal weight participants: 2.09 (1.65; 2.66) and 4.38 (3.39; 5.66), respectively, p for trend < 0.001; for former and current relative to never smokers: 1.42 (1.14, 1.75) and 1.63 (1.25, 2.12), respectively, p for trend < 0.001.

conclusionOne out of nine participants of our sample is on polypharmacy. Increasing age, body mass index, smoking and lower education independently increase the likelihood of being on polypharmacy.

Indexed as

PolypharmacyAdultAgedAged, 80 and overAge FactorsBody Mass IndexEducational StatusFemaleHumansMaleMiddle AgedMultivariate AnalysisOverweightPrevalenceSmokingEpidemiologyPolypharmacySmokingSocio-economic

Identifiers

PMID29268737
PMCPMC5740765

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.